EEAT Mechanics

OriginalContentScore

B/CLeak, verbatim

This score measures how much first-hand material a piece of content contains — information found only there, that an AI could not reconstruct from other sources.

By Thomas Wawra·Last reviewed
Function class
Quality & Prediction
Axis
Form quality
Reach
Doc→Site
Calibration source
Rater (IS)
Experience· primaryExpertise· indirectAuthority· noneTrust· none

What it measures

This score measures how much first-hand material a piece of content contains — information found only there, that an AI could not reconstruct from other sources. The higher the score, the more original the content. It is the closest machine equivalent to the E-E-A-T dimension 'Experience' (lived experience and direct observation).

Derived from

An AI-based score derived from the text content, measuring how much first-hand material is present. It feeds into the NSR content vector.

Metric detail

A value for the originality/first-hand-material degree of content: the higher, the less reconstructable elsewhere (the closest machine proxy for Experience). [B field, C Experience reading]

Why this attribution

Experience is primary — this score is the only content signal that can directly measure 'own experience'. Expertise is indirect. Important: when aggregated to site level (NSR), Experience 'evaporates' — a single original article gets lost in the average of many pages.

Strategic consequence

Own measurement data, expert assessments from in-house sources, direct observations — all of this increases the OriginalContentScore. Writing 'our station is currently measuring 87 km/h wind gusts' creates more original value than copying the same number from another service. Flag your own data visibly.

Deep dive →
OriginalContentScore: How Google Measures Content Originality
13 claims· Experience Expertise

Related systems

Answer modules will appear here (coming soon)